Evolutionary game analysis of photovoltaic cluster public goods considering energy storage leasing
In the process of transitioning to a new type of power system and promoting the development of the photovoltaic industry,in order to achieve the development goals of carbon peakand carbon neutrality,various places have successively introduced an assessment system forcompulsory configuration of energy storage.In order to stabilize photovoltaic output and improve the utilization efficiency of energy storage resources,this paper constructs a two-level game optimization model based on the business model of sharing economy,and explores the issue of configuration of energy storage lease in photovoltaic power station cluster.The upper layer takes the energy storage operator as the leader and the users of the photovoltaic power station cluster as the followers to establish a leader-follower game model to optimize the leasing price strategy.For the internal cooperation situation of the photovoltaic power station cluster,the lower layer establishes a public goods evolutionary game based on the threshold,and promotes the leasing of energy storage of photovoltaic power stations and optimizes the configuration capacity of energy storage leasing through reward and punishment measures,thereby solving the difficult problem of cooperation.The simulation results show that appropriate incentives and penalties are conducive to promoting the leasing and configuration of energy storage by photovoltaic power station clusters,and ensuring that the mandatory requirements of energy storage configuration by power grid companies are met.The leader-follower game pricing strategy under the framework of the two-level game model is conducive to coordinating the interests of energy storage operators,the photovoltaic power station cluster and the energy storage lease users,and promoting a win-win cooperation among all parties in economic interests.
shared energy storagephotovoltaic power station clustersleader-follower gamepublic goods evolutionary gameelectricity market
万方数据
维普
